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| Criterion |  Delivery Monte Carlo Forecasting |  Delivery Shape Up |  Facilitation Alignment Mapping |
|---|---|---|---|
Purposedifferent | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts. | When several people work toward one goal but hold different mental maps, Alignment Mapping makes the discrepancies visible. It arranges goals, assumptions, and priorities so shared direction becomes verifiable. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 6 Wochen Cycle + 2 Wochen Cool-Down | 1-2 h |
Participantsdifferent | 1-8 | 2-4 pro Pitch | 4-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Pitches, Bet-table decisions, Hill charts, Cooldown outcomes | Alignment Map, Open Issues, Decision Questions |
Tagsno overlap | ForecastingFlowDelivery | PlanningDeliveryAutonomy | AlignmentStakeholdersStrategyFacilitation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
